Department of Bioscience and Biotechnology, Konkuk University, Seoul, Korea.
Crit Rev Biotechnol. 2019 Feb;39(1):35-49. doi: 10.1080/07388551.2018.1490246. Epub 2018 Jul 23.
The stochasticity of (Trivially: the koji mold) pan-metabolomes commensurate with its ubiquitously distributed landscapes, i.e. growth matrices have been seemed uncharted since its food fermentative systems are mostly being investigated. In this review, we explicitly have discussed the likely tendencies of metabolomes pertaining to its growth milieu formulated with substrate matrices of varying nature, composition, texture, and associated physicochemical parameters. We envisaged typical food matrices, namely, meju, koji, and moromi as the semi-natural cultivation models toward delineating the metabolomic patterns of the koji mold, which synergistically influences the organoleptic and functional properties of the end products. Further, we highlighted how tailored conditions in sub-natural growth matrices, i.e. synthetic cultivation media blends, inducers, and growth surfaces, may influence metabolomes and targeted phenotypes. In general, the sequential or synchronous growth of on formulated matrices results in a number of metabolic tradeoffs with its immediate microenvironment influencing its adaptive and regulatory metabolomes. In broader context, evaluating the metabolic plasticity of relative to the tractable variables in formulated growth matrices might help approximate its growth and metabolism in the more complex natural matrices and environs. These approaches may considerably help in the design and manipulation of hybrid cultivation systems towards the efficient harnessing of commercial molds.
（Trivially：米曲霉）泛代谢组的随机性与其无处不在的分布景观相称，即由于其食品发酵系统大多正在被研究，因此其生长基质的代谢组似乎是未知的。在这篇综述中，我们明确讨论了与生长基质相关的代谢组可能的趋势，这些基质具有不同的性质、组成、质地和相关物理化学参数。我们设想了典型的食品基质，即麴糵、米曲和麴汁，作为半自然培养模型，以描绘米曲霉的代谢组模式，这对最终产品的感官和功能特性有协同影响。此外，我们强调了在半自然生长基质（例如合成培养介质混合物、诱导剂和生长表面）中定制条件如何影响代谢组和靶向表型。一般来说，在配方基质上的顺序或同步生长会导致许多代谢权衡，其直接的微环境会影响其适应性和调节代谢组。从更广泛的角度来看，评估 相对于配方生长基质中可处理变量的代谢可塑性，可能有助于近似其在更复杂的天然基质和环境中的生长和代谢。这些方法可以极大地帮助设计和操纵混合培养系统，以有效地利用商业模具。
